Data Support Engineer
4 days ago
The Data Support Engineer ensures the accuracy and integrity of sales, payment, and other critical data. This role involves data analysis, troubleshooting, and technical support, working with PostgreSQL, Python, and Linux to improve operations and create automation.
EXPECTED OUTCOMES AND DELIVERABLES
Data Analysis and Reconciliation:
- Analyze sales, payment and related data to identify and resolve discrepancies, ensuring data accuracy.
- Conduct detailed, line-by-line data analysis to pinpoint and rectify data errors.
- Generate comprehensive reports on sales and payment data, providing valuable insights.
Technical Support and Troubleshooting:
- Troubleshoot and resolve technical issues related to sales, payment, and data processing systems.
- Utilize proficiency in PostgreSQL, Python scripting, and Linux environments to address technical challenges, improve operations and create automations.
- Develop and maintain PostgreSQL and Python scripts for data manipulation, automation, and issue resolution.
Ticket Management and Support:
- Manage and prioritize incoming support tickets related to sales, payment, and data processing.
- Conduct initial assessments and triage of tickets, assigning them to appropriate personnel or resolving them directly.
- Provide timely and professional communication to stakeholders regarding ticket status, progress, and resolution on a daily basis.
- Monitor and manage ticket queues across teams, ensuring timely resolution and follow-up.
Operational Efficiency:
- Develop and document efficient workflows for repetitive data operations tasks.
- Perform manual data validation, identification, and reconciliation, taking corrective actions as needed.
- Review ticket queues of all staff and assess what can be reprioritized, what requires updates and/or immediate attention, what required follow ups with the customer and team members, and complete the tasks or work on them till resolution.
Communication and Collaboration:
- Communicate professionally and effectively with internal and external teams.
- Provide regular updates and follow-ups on ticket progress and resolutions.
Tools and Technologies:
- Utilize Excel and Google Sheets for data manipulation, analysis, and reporting.
- Work within a Windows & Linux environment.
- Create enhancements and automations using PostgreSQL and Python and other technologies available.
Skills & Qualifications
Technical Skills
- Proficiency in Python, PostgreSQL, and Linux (Ubuntu).
- Experience with Power BI and Jira is an asset.
Soft Skills
- Detail-oriented with strong problem-solving abilities.
- Excellent communication and teamwork skills.
- Adaptable and proactive in troubleshooting and improving workflows.
Education & Experience
- Post-secondary education in a related field is an asset.
- Hands-on experience with the listed technical skills is required.
Work Environment & Expectations
- Hours: Monday to Friday, 10 AM – 6 PM (some overtime may be required).
- Location: Office-based, with occasional travel for work or company events.
- Physical Requirements: Mostly computer-based work with potential for eye/wrist strain.
- Opportunities to advance to Senior Data Support Engineer, Data Engineer, or Software Developer based on performance and company growth.
For serious applicants, we require Predictive Index to be taken and will be asked to be completed before the interview process starts.
Seniority Level- Associate
- Full-time
- Analyst and Engineering
- Industries: Marketing Services
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